7 results about "Maximum power point tracking algorithm" patented technology

The invention discloses an optical storage and charging integrated system based on reinforcement learning and a power distribution control method, relates to the technical field of optical storage and charging, and solves the technical problem that dynamic response speed, operation stability and energy management efficiency are difficult to consider under complex working conditions. The method comprises the following steps: determining a maximum power point of a photovoltaic power generation unit based on a maximum power point tracking (MPPT) algorithm to output electric energy; the reinforcement learning power compensation agent collects a plurality of working parameters in real time, calculates a power deviation between total output power and reference power, carries out proportional processing, and jointly inputs a state vector; obtaining a power compensation deep neural network based on the plurality of input state vectors and the multi-target weighted comprehensive reward function; and performing reasoning processing based on the real-time working parameters and the power compensation deep neural network to obtain the power regulation quantity of the energy storage unit, and entering a preset working mode. According to the invention, flexible, accurate and safe distribution of power among photovoltaic power, energy storage power and a power grid is realized.

The embodiment of the invention discloses a maximum power point tracking method, a photovoltaic system, a storage medium and a program product. The method comprises the steps that a first current and voltage curve obtained through forward scanning of a photovoltaic module and a second current and voltage curve obtained through reverse scanning of the photovoltaic module are obtained; determining a plurality of voltage intervals based on the first current-voltage curve and the second current-voltage curve; determining key parameters of a maximum power point tracking algorithm corresponding to each voltage interval; the key parameters at least comprise one or more of disturbance compensation, a power threshold value and waiting duration; the waiting time length is the waiting time length for acquiring power after the photovoltaic module is disturbed; and determining the maximum output power of the photovoltaic module based on the key parameters corresponding to each voltage interval and a maximum power point tracking algorithm.

The invention relates to an intelligent speed regulation and control method and system for a solar generator, and relates to the field of solar power generation technologies. When the external illumination intensity is greater than the preset effective power generation intensity, determining an effective power generation position according to a preset sun motion algorithm, and controlling the generator to rotate to the effective power generation position; after the generator rotates, determining required reference voltage and theoretical generated power according to a preset maximum power point tracking algorithm; determining an equipment operation rotating speed corresponding to the required reference voltage according to a preset rotating speed matching relation, controlling a generator to operate at the equipment operation rotating speed, and obtaining actual power generation power in the operation process; and calculating according to the theoretical generated power and the actual generated power to determine a power error ratio, and outputting an alarm signal when the power error ratio is greater than a preset allowable error ratio. The solar generator has the function of improving the overall use effect of the solar generator.

The application provides a control method, system, device and storage medium for a hydraulic generator, and belongs to the technical field of wave energy generation, the method comprising: acquiring real-time operation data of the hydraulic generator, inputting a power generation power optimization model in combination with a preset water power coefficient to obtain ideal wave energy power generation power; obtaining actual output power of the generator through a maximum power point tracking algorithm; determining a working condition according to the real-time data and the actual output power: if it is a continuous power generation mode, generating a smaller first control angle instruction to make the hydraulic generator continuously generate power; if it is an intermittent power generation mode, generating a larger second control angle instruction to make the hydraulic generator intermittently generate power. The control method, system, device and storage medium for the hydraulic generator provided by the application generate corresponding control angle instructions for different power generation modes, thereby effectively adjusting the output voltage of the hydraulic generator to adapt to the change of wave energy, and improving the power generation stability and equipment operation safety.

The application discloses a kind of based on reinforcement learning's light storage fills integrated system and power distribution control method, it is related to light storage fills technical field, it is difficult to take into account dynamic response speed, operating stability and energy management efficiency under complex working condition technical problem.The method comprises: based on maximum power point tracking MPPT algorithm determines the maximum power point of photovoltaic power generation unit for electric energy output;Real-time acquisition is carried out to multiple operating parameters by reinforcement learning power compensation agent, the power deviation between total output power and reference power is calculated, and proportioning treatment is carried out, and state vector is inputted jointly;Based on multiple input state vectors, multiple target weighted comprehensive reward function, obtain power compensation deep neural network;Based on real-time operating parameter, power compensation deep neural network carries out inference processing, obtains the power regulation amount of energy storage unit, enters preset working mode.The application realizes the flexible, accurate and safe distribution of power between photovoltaic, energy storage and power grid.

This invention discloses an intelligent control method for a photovoltaic grid-connected inverter, relating to the field of photovoltaic power generation technology. The method includes the following steps: system check, maximum power point tracking (MPPT), real-time measurement of the output voltage and current of the photovoltaic array in the photovoltaic system, obtaining ΔP(K) using an incremental algorithm, and then using the MPPT algorithm to obtain P based on ΔP(K). max (K) Grid-connected control connects the inverter to the grid, enabling intelligent power adjustment. After grid connection, the inverter output is adjusted through a power optimization algorithm to bring it closer to the theoretical maximum power point. Safety maintenance measures include an incremental algorithm that calculates power increments in real time and updates the maximum power point accordingly, improving the accuracy of tracking the maximum power point and ensuring that the photovoltaic system can operate close to the maximum power point. The power optimization algorithm then adjusts the inverter output to bring it closer to the theoretical maximum power point, achieving real-time optimization and improving the overall performance and efficiency of the photovoltaic system.

The invention is suitable for the technical field of photovoltaic power generation, provides a maximum power point tracking method applied to a photovoltaic solar power generation system equipped with a 3P3Z compensator and a related device, and realizes rapid and stable tracking of the maximum power point of the photovoltaic solar power generation system. The method mainly comprises the steps of obtaining an output voltage and an output current of a photovoltaic matrix of a photovoltaic power generation system; generating a voltage reference value by using a preset maximum power point tracking algorithm based on the output voltage and the output current; calculating a voltage difference between the voltage reference value and the output voltage; inputting the voltage difference into a 3P3Z compensator for operation to obtain a current reference value; calculating a current difference between the current reference value and the output current; the current difference is input into a proportional-integral controller for operation, and a control signal is generated; generating a PWM waveform according to the control signal; and driving the DC-DC converter to output target power to the load through the PWM waveform.